Datasets:
Tasks:
Text Classification
Formats:
csv
Languages:
Portuguese
Size:
1K - 10K
Tags:
hate
hatespeech
brazilianportuguese
evaluationbenchmark
naturallanguageprocessing
machinelearning
License:
franciellevargas
commited on
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README.md
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Each comment was annotated by 3 (three) expert annotators, resulting in a high level of inter-annotator agreement.
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- **Funded by:**
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- **Language(s) (NLP):** Portuguese
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- **Repository:** https://github.com/franciellevargas/HateBR
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- **Demo:** NoHateBrazil (Brasil-Sem-Ódio): http://143.107.183.175:14581/
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- **Papers HateBR 2.0:** @article{Vargas_Carvalho_Pardo_Benevenuto_2024, author={Vargas, Francielle and Carvalho, Isabelle and Pardo, Thiago A. S. and Benevenuto, Fabrício}, title={Context-aware and expert data resources for Brazilian Portuguese hate speech detection}, DOI={10.1017/nlp.2024.18}, journal={Natural Language Processing}, year={2024}, pages={1–22}, url={https://www.cambridge.org/core/journals/natural-language-processing/article/contextaware-and-expert-data-resources-for-brazilian-portuguese-hate-speech-detection/7D9019ED5471CD16E320EBED06A6E923#}, }
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Each comment was annotated by 3 (three) expert annotators, resulting in a high level of inter-annotator agreement.
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# Dataset Description
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- **Proposed by:** Francielle Vargas (<https://franciellevargas.github.io/>)
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- **Funded by:** FAPESP
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- **Language(s) (NLP):** Portuguese
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# Dataset Sources
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- **Repository:** https://github.com/franciellevargas/HateBR
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- **Demo:** NoHateBrazil (Brasil-Sem-Ódio): http://143.107.183.175:14581/
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- **Papers HateBR 2.0:** @article{Vargas_Carvalho_Pardo_Benevenuto_2024, author={Vargas, Francielle and Carvalho, Isabelle and Pardo, Thiago A. S. and Benevenuto, Fabrício}, title={Context-aware and expert data resources for Brazilian Portuguese hate speech detection}, DOI={10.1017/nlp.2024.18}, journal={Natural Language Processing}, year={2024}, pages={1–22}, url={https://www.cambridge.org/core/journals/natural-language-processing/article/contextaware-and-expert-data-resources-for-brazilian-portuguese-hate-speech-detection/7D9019ED5471CD16E320EBED06A6E923#}, }
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# Dataset Contact
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